This study presents a genetic algorithm (GA)-enhanced method for generating and tailoring stable microcombs in microresonators. Microcombs, generated in optical microcavities, offer compact and stable alternatives to traditional systems for applications in high-precision metrology, sensing, and telecommunications. However, existing methods for customizing microcombs often rely on manual exploration of a large parameter space, which lacks practicality and versatility. The proposed approach uses GAs to autonomously optimize parameters for generating microcombs with desired spectral features, such as free spectral range, spectral envelope, and bandwidth. The method controls optical parametric oscillation in a microring resonator to generate broadband microcombs spanning the entire telecommunication C-band. The high flexibility of the approach allows for complex microcomb spectral envelopes corresponding to various operation regimes, with potential for adaptation to different microcavity geometries and materials. The study demonstrates the effectiveness of the GA approach in achieving targeted microcomb states, including primary combs, MI microcombs, and dissipative Kerr solitons. The GA is used to optimize parameters such as laser scan speed, detuning, and intracavity power to achieve desired microcomb characteristics. The method is validated through experimental results showing high spectral coherence and stability of the generated microcombs. The GA approach is also shown to be efficient in exploring a large parameter space, enabling the identification of optimal parameters for microcomb generation. The results demonstrate the potential of the GA-enhanced method for future applications in telecommunications and artificial intelligence-assisted data processing. The study highlights the robustness and versatility of the GA approach in generating microcombs with specific spectral features, making it a promising solution for various applications.This study presents a genetic algorithm (GA)-enhanced method for generating and tailoring stable microcombs in microresonators. Microcombs, generated in optical microcavities, offer compact and stable alternatives to traditional systems for applications in high-precision metrology, sensing, and telecommunications. However, existing methods for customizing microcombs often rely on manual exploration of a large parameter space, which lacks practicality and versatility. The proposed approach uses GAs to autonomously optimize parameters for generating microcombs with desired spectral features, such as free spectral range, spectral envelope, and bandwidth. The method controls optical parametric oscillation in a microring resonator to generate broadband microcombs spanning the entire telecommunication C-band. The high flexibility of the approach allows for complex microcomb spectral envelopes corresponding to various operation regimes, with potential for adaptation to different microcavity geometries and materials. The study demonstrates the effectiveness of the GA approach in achieving targeted microcomb states, including primary combs, MI microcombs, and dissipative Kerr solitons. The GA is used to optimize parameters such as laser scan speed, detuning, and intracavity power to achieve desired microcomb characteristics. The method is validated through experimental results showing high spectral coherence and stability of the generated microcombs. The GA approach is also shown to be efficient in exploring a large parameter space, enabling the identification of optimal parameters for microcomb generation. The results demonstrate the potential of the GA-enhanced method for future applications in telecommunications and artificial intelligence-assisted data processing. The study highlights the robustness and versatility of the GA approach in generating microcombs with specific spectral features, making it a promising solution for various applications.